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Cellular automata machines: a new environment for modeling
Cellular automata: theory and experiment
Cellular automata: theory and experiment
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Theoretical Computer Science - Special issue: cellular automata
Future Generation Computer Systems
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PaCT '999 Proceedings of the 5th International Conference on Parallel Computing Technologies
An Algorithm for Robot Path Planning with Cellular Automata
Proceedings of the Fourth International Conference on Cellular Automata for Research and Industry: Theoretical and Practical Issues on Cellular Automata
Evolution in asynchronous cellular automata
ICAL 2003 Proceedings of the eighth international conference on Artificial life
IEEE Intelligent Systems
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Theory of Self-Reproducing Automata
A CA-Based Self-organizing Environment: A Configurable Adaptive Illumination Facility
PaCT '09 Proceedings of the 10th International Conference on Parallel Computing Technologies
An Asynchronous Cellular Automata-Based Adaptive Illumination Facility
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
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Software engineering for large-scale multi-agent systems
Training cellular automata for image processing
IEEE Transactions on Image Processing
Modeling and programming asynchronous automata networks: the MOCA approach
ACRI'10 Proceedings of the 9th international conference on Cellular automata for research and industry
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The term Ambient Intelligence refers to environments enhanced by the presence of electronic devices that are sensitive and responsive to the presence of people. The scenario described in the paper envisages an environment endowed with a set of sensors (to perceive humans or other physical entities), interacting with a set of actuators (lights) that adjust their state of illumination in an attempt to improve the overall experience of these users. The model for the interaction and action of sensors and actuators is an asynchronous Cellular Automata (CA) supporting a self-organization of the system as a response to the presence and movements of people inside it. The paper will introduce the model as well as its implementation in a specific hardware component supporting the realization of modular adaptive lighting systems.